Use cases for the design phase

Multi Data Center Workload Allocation
1. A data center operator receives a new request of a client, who has a large number of VMs with certain geographic preferences. The data center operator asks Multi Data Center Optimization GC to map VMs to multiple data centers.
2. Multi Data Center Optimization GC collects external data and forecasts the following two metrics for a rather long optimization interval:
- a. an energy related metric (including energy efficiency, renewable energy mix and energy prices) for all data centers involved, and
- b. the demands of VMs.
3. Multi Data Center Optimization GC replies how to distribute the client’s VMs onto different data centers.

 

Decision Support for Renewable Energy Sources Deployment
1. Data center planner wants to determine the best and cost-effective RES system to be installed in a given data center at a given location.
2. Data center planner provides the required inputs and specifications to the Decision Support for RES Integration GC to get advice for taking the best decision.
3. The Decision Support for RES Integration GC uses historical weather data, available local resources, and other information needed to identify the best RES technologies.
4. The data center planner gets as an output the best RES technology to be installed at the given location (x kW wind power, x kW PV solar, x kW batteries, x kW biomass energy source).
5. The RES system is integrated or deployed in the data center (commissioning phase) by the system integrator.
6. The data center configuration has structural or functional changes (size, more racks, more CRAC units, …).
7. Decision support tool refines or reconfigures RES system deployment plan.

 

GENiC Platform Design
Based on the virtual response from the Simulators GC, the GENiC system determines control actions and operational set points at all levels via normal GENiC system operation. The control commands are then sent to the Simulators GC and the process begins again for the next time step with Simulators GC continuously providing a virtual system response.
Iteration process of development:
1. Process initiated by sending sample load data to the relevant GCs and the models with-in the Simulators GC.
2. Simulators GC then provides data to Workload, Thermal and Power Monitoring GCs in place of measurements from real data center.
3. Normal GENiC operation is conducted as described in Section 3.3.1.
4. Control signals are sent to Simulators GC by the Workload, Thermal and Power Actuation GCs.